AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Top 10 Free Resources To Learn Power BI In 2021
Close to 16.6 percent of companies that use Power BI belongs to professional service, followed by manufacturing, banking and financial services and healthcare
Amit Naik ·
Why Data Science Skills Are The Best Bet For Youth?
Data science is a large umbrella term and not a specific skill-set. It's a career line just like we have engineering or management.
kumar Gandharv ·
Top 10 Tools To Kickstart Your MLOps Journey In 2021
Amit Naik ·
Building An ML Classification Model Using PyCaret
Victor Dey ·
Semantic Segmentation in Computer Vision: A Comprehensive Overview
Roger Max ·
How to Use Graph Neural Networks for Text Classification?
There are a number of studies in which we can see that neural networks are generalized and can be applied to the regular grid structure which is helpful in working on arbitrarily structured graphs
Yugesh Verma ·
Common Feature Engineering Techniques To Tackle Real-World Data
Data mining is a technique of extracting useful patterns and relationships from data, most commonly databases, texts, and the web. Data Mining uses statistical and pattern matching techniques to help discover insights.
Victor Dey ·
Detection & Classification Of AI Generated Fake News
This is one of the top voted thesis papers from upGrad's online working professional programs in partnership with one of the UK's leading universities.
Poorva.Sawant ·
8 React Native Component Libraries Every Mobile Developer Should Know
React Native an open-source JavaScript-based mobile application framework for both Android and iOS operating systems.
Debolina Biswas ·
Tutorial on Univariate Single-Step Style LSTM in Time Series Forecasting
forecasting analysis for one single future value using LSTM in Univariate time series. LSTM is a RNN architecture of deep learning van be used for time series analysis.
Yugesh Verma ·
Hands-On Tutorial on Performance Measure of Stratified K-Fold Cross-Validation
The most used validation technique is K-Fold Cross-validation which involves splitting the training dataset into k folds. The first k-1 folds are used for training, and the remaining fold is held for testing, which is repeated for K-folds.…
Vijaysinh Lendave ·
Python 3.9 vs Python 3.10: A Feature Comparison
In this article, we will compare the features of two of the most recent versions of the Python programming language, Python 3.9 and Python 3.10, with their respective examples and try to explore what is different and new.
Victor Dey ·
Introduction To Local Feature Matching Using LoFTR
Victor Dey ·
Apple WWDC Over The Years: A Timeline Of Top ML Updates
Meenal Sharma ·
Best Data Science Courses in India: Top Picks By AIM
kumar Gandharv ·
Self-Supervised Learning Vs Semi-Supervised Learning: How They Differ
Over time, scientists have introduced several techniques that offer the best of both.
Shraddha Goled ·
How To Do Hierarchical Clustering Using UPGMA
UPGMA is one of the most widespread hierarchical clustering algorithms because it is easy to understand and fast in practice.
Aditya Singh ·
Dataiku 9 Released: Major Features & Updates
From support for the popular dash application framework to what-if analysis and support for Python 3.7, Dataiku 9 comes with several new features.
Srishti Deoras ·
PyTorch Profiler: Major Features & Updates
The Profiler collects both GPU and framework related information.
Ambika Choudhury ·
Introducing DeiT: Data-Efficient Image Transformers
Only vision transformers (ViT) have been able to achieve state-of-the-art performance on ImageNet without using convolution.
Aditya Singh ·